AI Analytics & Insights Analyst

Pillsbury Winthrop Shaw Pittman LLP; Los Angeles (CA); On-site; USD 175,000 - 200,000; Full time

Job summary

Pillsbury Winthrop Shaw Pittman LLP is seeking a Data Analyst in Nashville to develop analytics, reporting, and real-time insights into firm operations, including profitability, staffing, pricing, pipeline activity, and AI impact. You will partner with practice leaders and data scientists to deliver data-driven analyses and scalable solutions across the Firm.

Responsibilities include building dashboards, maintaining data models, ensuring data quality, and presenting findings to executive teams.

Qualifications

• 3–7 years of analytics, BI, or data science experience in professional services or similar environment.
• Strong proficiency in SQL and modern BI/data visualization platforms.
• Experience in designing scalable data models and reporting solutions.
• Working knowledge of Python or R for advanced analyses.
• Excellent communication for presenting findings to executives.

Responsibilities

• Identify business needs with practice leaders and translate into scalable analytics solutions.
• Develop dashboards and reports showing matter performance, financial results, and AI metrics.
• Perform ad hoc analyses and deliver actionable insights for decision-making.
• Establish data definitions, governance standards, and reporting integrity.
• Collaborate with engineering to optimize data models and warehouse/ lakehouse layers.
• Monitor data quality and implement corrective solutions with relevant teams.
• Present analytical findings clearly to executives and stakeholders.

Skills

SQL

Power BI

Tableau

Looker

ThoughtSpot

Python

Data modeling

Education

Bachelor's degree in statistics, mathematics, economics, computer science, or data science

Tools

dbt

Snowflake

BigQuery

Databricks

Job description

Pillsbury Winthrop Shaw Pittman LLP is seeking a Data Analyst in Nashville to develop analytics, reporting, and real-time insights into firm operations, including profitability, staffing, pricing, pipeline activity, and AI impact. You will partner with practice leaders and data scientists to deliver data-driven analyses and scalable solutions across the Firm.

Responsibilities include building dashboards, maintaining data models, ensuring data quality, and presenting findings to executive teams.